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» A graphical model for predicting protein molecular function
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BMCBI
2011
12 years 11 months ago
PRIN, a predicted rice interactome network
Background: Protein-protein interactions play a fundamental role in elucidating the molecular mechanisms of biomolecular function, signal transductions and metabolic pathways of l...
Haibin Gu, Pengcheng Zhu, Yinming Jiao, Yijun Meng...
BMCBI
2006
174views more  BMCBI 2006»
13 years 7 months ago
Genome wide prediction of protein function via a generic knowledge discovery approach based on evidence integration
Background: The automation of many common molecular biology techniques has resulted in the accumulation of vast quantities of experimental data. One of the major challenges now fa...
Jianghui Xiong, Simon Rayner, Kunyi Luo, Yinghui L...
BIOINFORMATICS
2007
161views more  BIOINFORMATICS 2007»
13 years 8 months ago
Functional evaluation of domain-domain interactions and human protein interaction networks
: Large amounts of protein and domain interaction data are being produced by experimental high-throughput techniques and computational approaches. To gain insight into the value of...
Andreas Schlicker, Carola Huthmacher, Fidel Ram&ia...
VISUALIZATION
2005
IEEE
14 years 1 months ago
Quality Mesh Generation for Molecular Skin Surfaces Using Restricted Union of Balls
Quality surface meshes for molecular models are desirable in the studies of protein shapes and functionalities. However, there is still no robust software that is capable to gener...
Ho-Lun Cheng, Xinwei Shi
JCB
2006
215views more  JCB 2006»
13 years 7 months ago
Protein Fold Recognition Using Segmentation Conditional Random Fields (SCRFs)
Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e., segmentation con...
Yan Liu 0002, Jaime G. Carbonell, Peter Weigele, V...